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About the Role

The Senior AI Architect, Generative AI is the technical authority responsible for defining how foundation-model, RAG, conversational, and agentic solutions are designed, evaluated, integrated, governed, and operated across Wind Engineering. This role creates architectures and reusable patterns for enterprise knowledge systems, engineering copilots, document intelligence, automated workflows, and multi-agent applications while ensuring grounding, traceability, security, human oversight, and measurable value. The architect separates compelling demonstrations from dependable engineering systems by establishing disciplined model selection, retrieval design, evaluation, guardrails, observability, and ownership practices.

Responsibilities

Define reference architectures for foundation-model applications, RAG, tool-using assistants, agentic workflows, document intelligence, and multimodal engineering use cases.
Establish approved patterns for model gateways, prompt and context management, retrieval, memory, tool invocation, orchestration, evaluation, logging, and user experience.
Define selection criteria for hosted, enterprise, open-weight, fine-tuned, and task-specific models based on quality, security, latency, cost, controllability, and supportability.
Ensure solutions align with approved GE Vernova platforms, identity, data, integration, and deployment standards.
Define when deterministic automation, a single assistant, or an agentic architecture is appropriate.
Establish patterns for planning, tool use, state, memory, handoffs, retries, approvals, termination, and exception handling.
Integrate agents with engineering applications, APIs, workflow engines, data systems, simulation tools, and enterprise services using least-privilege access.
Prevent uncontrolled autonomy by defining bounded actions, approval gates, transaction limits, and recoverable failure behavior.
Define evaluation frameworks covering task success, groundedness, retrieval quality, factuality, completeness, instruction adherence, safety, latency, cost, and user value.
Create representative test sets from actual engineering tasks, including difficult, ambiguous, adversarial, and out-of-scope cases.
Establish automated, model-based, deterministic, and expert human evaluation where each is appropriate, with calibrated use of LLM-as-judge methods.
Require release gates, regression testing, red-team evidence, and post-deployment monitoring before broad adoption.
Design GenAI experiences that fit engineering decision points, standard work, document flows, and existing applications rather than creating disconnected chat interfaces.
Define patterns for human review, structured output, source evidence, approvals, write-back, and exception handling.
Ensure generated content entering engineering records is identifiable, reviewable, and subject to appropriate validation.
Partner with process owners to measure cycle-time, quality, adoption, and rework impacts.
Mentor Embedded AI Architects, AI engineers, data scientists, and product teams in GenAI system design and evaluation.
Lead architecture reviews, evaluation clinics, red-team exercises, technical demonstrations, and reusable-pattern workshops.
Define competency expectations across RAG, agents, evaluation, security, prompt/context engineering, and workflow integration.
Maintain a pragmatic view of emerging models and frameworks, adopting capabilities based on measured engineering value.

Requirements

Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Data Science, or a related technical field; advanced degree strongly preferred.
Significant hands-on experience architecting and deploying production generative AI, RAG, conversational, or agentic systems.
Demonstrated knowledge of foundation models, embeddings, retrieval, reranking, prompt/context engineering, structured generation, tool use, and model evaluation.
Experience with orchestration and application frameworks such as LangGraph, Semantic Kernel, n8n, or equivalent, without dependence on any single framework.
Experience integrating AI applications with enterprise APIs, identity, data platforms, document repositories, workflow systems, and observability services.

Skills

Generative AI
RAG
Conversational AI
Agentic AI
Foundation Models
Embeddings
Retrieval
Reranking
Prompt Engineering
Context Engineering
Structured Generation
Tool Use
Model Evaluation
Orchestration Frameworks
LangGraph
Semantic Kernel
n8n
API Integration
Identity Management
Data Platforms
Document Repositories
Workflow Systems
Observability Services
Test Set Design
Evaluation Pipelines
GenAI Security Risks
Prompt Injection
Data Leakage
Insecure Tool Use
Untrusted Content
Enterprise Standards Definition
Mentoring
Architecture Trade-off Communication
Engineering Workflows
Scientific Workflows
Manufacturing Workflows
Service Workflows
Regulated Knowledge Workflows
Azure OpenAI
Amazon Bedrock
Google Vertex AI
Vector Search
Hybrid Search
Knowledge Graphs
Document Parsing
Multimodal Models
Fine-tuning
Adapters
Synthetic Data Generation
Agent Evaluation
Runtime Tracing
Policy Enforcement
Approval-Based Action Execution
Responsible AI Frameworks
Model Risk Management
Cybersecurity Threat Modeling
Audit Evidence for AI Systems
Commercial GenAI Platform Evaluation

Location

United States

Work Type

Full-time

Experience Level

Senior
Advanced degree preferred
Significant hands-on experience

Education Level

Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Data Science, or a related technical field
Advanced degree strongly preferred

Salary/Compensations

$113,200.00 - $188,800.00
Geographic differential of 110%, 120% or 130% of salary in certain areas
Discretionary annual bonus

Benefits

Medical coverage
Dental coverage
Vision coverage
Prescription drug coverage
Access to Health Coach from GE Vernova, a 24/7 nurse-based resource
Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
Access to Fidelity resources and financial planning consultants
Tuition assistance
Adoption assistance
Paid parental leave
Disability benefits
Life insurance
12 paid holidays
Permissive time off
Relocation Assistance Provided: Yes

About the Company

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening.
Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Equal Opportunity

GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.